Influences of sedimentation on overflow properties of sharp-crested weir by Mohammad Mehdi Farzanmehr, Jahanshir Mohammadzadeh-Habili

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Mathematics as Information Compression via the Matching and Unification of Patterns by J. Gerard Wolff

“…Also discussed is the intimate relation between IC and concepts of probability, with arguments that there are advantages in approaching AI, cognitive science, and concepts of probability via ICMUP. …”
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Simulation of sand and mud transport processes in currents and waves by time-dependent 2DV model by Leo van Rijn, Karel Meijer, Kris Dumont, Jan Fordeyn

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Robotic surgery in gastrointestinal surgery: History, current status, and challenges by Yu Liu, Qingyang Feng, Jianmin Xu

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Radiographic and Clinical Results of Combined Bone and Soft-Tissue Tailored Surgeries for Hip Dislocation and Subluxation in Cerebral Palsy by Giulia Beltrame, Artemisia Panou, Andrea Peccati, Haridimos Tsibidakis, Francesco Pelillo, Nicola Marcello Portinaro

“…Radiological measurements of AI, RI, and NSA were obtained before surgery, postoperatively, at 12 and 24 months after surgery. …”
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Towards a new era of 2D materials-based multifunctional composite films: From innovation to evolution by Muhammad Yasir Khalid, Rehan Umer

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Unlocking autism’s complexity: the Move Initiative’s path to comprehensive motor function analysis by Ashley Priscilla Good, Elizabeth Horn

“…Despite advances in sensors, wearables, algorithms, machine learning, and agentic AI, autism research remains siloed, with many tools inaccessible to affected families and care teams. …”
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Automatic Cleaning of Time Series Data in Rural Internet of Things Ecosystems That Use Nomadic Gateways by Jerzy Dembski, Agata Kołakowska, Bogdan Wiszniewski

“…The proposed solution uses the analysis of the physics of the measured signals and is based on a simple anomaly model whose parameters can be optimized using popular AI techniques. It was validated during a full 10-month vegetation period in a real Rural IoT system deployed by Gdańsk Tech.…”
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Digital volunteer services in emergency situations: Typological characteristics, advantages, and challenges by Yongzhong Sha, Xingfei Wei, Chunhua Niu, Yongbao Zhang, Lu He

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不同透析方法对透析病者血浆脂蛋白和载脂蛋白的影响

“…结果显示，ＭＨＤ病者透析后血甘油三脂（ＴＧ）、极低密度脂蛋白胆固醇（ＶＬＤＬ－Ｃ）轻度升高，载脂蛋白Ｂ－１００（ａｐｏＢ－１００）明显升高，总胆固醇（ＴＣ）、ａｐｏＡＩ、ａｐｏＡⅡ、ａｐｏＣⅡ及ａｐｏＣⅡ／ａｐｏＣⅢ均明显降低；ＣＡＰＤ病者治疗后ＴＧ、低密度脂蛋白胆固醇（ＬＤＬ－Ｃ）、ＶＬＤＬ－Ｃ、ａｐｏＢ－１００、ａｐｏＣⅢ较透析治疗前明显升高，而ａｐｏＡⅠ明显降低；有动脉硬化合并症的透析患者，其脂质代谢紊乱明显重于无动脉硬化的患者。…”
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Emerson's framework on the output of public-private partnership on hemodialysis services in Indonesia regional hospitals by Masyitoh Basabih, Eko Prasojo, Amy Yayuk Sri Rahayu

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Gouvernance des entreprises publiques et crise d’endettement en Côte d’Ivoire (1960-1990) by Houphouët Jean Félix KOMENAN & Kouamé Christophe N’GUESSAN

“…Résumé : A l’indépendance de la Côte d’Ivoire en 1960, bien que le pays ai fait le choix du libéralisme économique, l’Etat est beaucoup intervenu dans l’activité de production économique. …”
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Leveraging Large Language Models for Enhanced Classification and Analysis: Fire Incidents Case Study by Eman H. Alkhammash

“…Fire detection and classification using artificial intelligence (AI) methods have drawn significant attention in the literature. …”
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Mass wasting reveals ongoing asymmetric retreat of the martian north polar ice cap by Shu Su, Lida Fanara, Haifeng Xiao, Ernst Hauber, Jürgen Oberst

“…We monitored how this activity is currently shaping the marginal steep scarps of the ice cap, which holds a record of the planet’s climate history. With AI-driven change detection between multi-temporal high-resolution satellite images, we created a comprehensive map of mass wasting across the entire North Polar Layered Deposits (NPLD). …”
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Nighttime Cough Characteristics in Chronic Obstructive Pulmonary Disease Patients by Albertus C. den Brinker, Okke Ouweltjes, Ronald Rietman, Susannah Thackray-Nocera, Michael G. Crooks, Alyn H. Morice

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GastroHUN an Endoscopy Dataset of Complete Systematic Screening Protocol for the Stomach by Diego Bravo, Juan Frias, Felipe Vera, Juan Trejos, Carlos Martínez, Martín Gómez, Fabio González, Eduardo Romero

“…The dataset covers 22 anatomical landmarks in the stomach and includes an additional category for unqualified images, making it a valuable resource for AI model development. By providing a robust public dataset and baseline deep learning models for image and sequence classification, GastroHUN serves as a benchmark for future research and aids in the development of more effective algorithms.…”
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Results of the First Attempt to Attract a Pair of the White-Tailed Eagles to an Artificial Nest by Altai Zh. Zhatkanbaev, Nurlan M. Dosov, Aleksey A. Grachev, Ermek S. Musyrpanov

“…The nesting site is located on "Duman-Ai" farm. There are no other poplar trees suitable for nesting within a 10km radius of the nest.…”
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Evaluation and optimization of carbon emission for federal edge intelligence network by Peng ZHANG, Yong XIAO, Jiwei HU, Liang LIAO, Jianxin LYU, Zegang BAI

“…In recent years, the continuous evolution of communication technology has led to a significant increase in energy consumption.With the widespread application and deep deployment of artificial intelligence (AI) technology and algorithms in telecommunication networks, the network architecture and technological evolution of network intelligent will pose even more severe challenges to the energy efficiency and emission reduction of future 6G.Federated edge intelligence (FEI), based on edge computing and distributed federated machine learning, has been widely acknowledged as one of the key pathway for implementing network native intelligence.However, evaluating and optimizing the comprehensive carbon emissions of federated edge intelligence networks remains a significant challenge.To address this issue, a framework and a method for assessing the carbon emissions of federated edge intelligence networks were proposed.Subsequently, three carbon emission optimization schemes for FEI networks were presented, including dynamic energy trading (DET), dynamic task allocation (DTA), and dynamic energy trading and task allocation (DETA).Finally, by utilizing a simulation network built on real hardware and employing real-world carbon intensity datasets, FEI networks lifecycle carbon emission experiments were conducted.The experimental results demonstrate that all three optimization schemes significantly reduce the carbon emissions of FEI networks under different scenarios and constraints.This provides a basis for the sustainable development of next-generation intelligent communication networks and the realization of low-carbon 6G networks.…”
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Ranqueles e identidad provincial by Anabela Abbona

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Stock status of kawakawa Euthynnus affinis (Cantor, 1849) fishery using surplus production model: An assessment from coastal waters of Tamil Nadu, Bay of Bengal, Southeast coast of... by Rajendran Abinaya, Moosambikandy K. Sajeevan

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